Persistent memory for AI agents - hybrid semantic + keyword recall with autonomous consolidation
Kirok Memory is an MCP integration. Persistent memory for AI agents - hybrid semantic + keyword recall with autonomous consolidation.
The published pypi package is kirok-mcp, version 1.4.2. Its declared MCP transport is stdio.
The package declares GEMINI_API_KEY (required): Google Gemini API key used for embeddings and LLM inference (can also be placed in ~/.kirok/.env).
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 1.4.2 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related knowledge & memory MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Google Gemini API key used for embeddings and LLM inference (can also be placed in ~/.kirok/.env) | Yes |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Your personal knowledge base and memory for AI agents: search, explore and feed your myBrain.
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Shell command execution MCP server
Give your AI agents persistent memory. mnemory is a self-hosted [MCP](https://modelcontextprotocol.io/) server that adds personalization and